Current Issue and Future Directions in Multimedia Hiding and Signal Processing

Dear Colleagues,

Computer and computing devices have become more intelligent and necessary with the recent developments in digital infrastructure. Anyone who wishes to communicate information can easily do so. Data communication has become much easier and faster. At the same time, communication privacy has been negatively impacted by these developments. Normally, data security techniques such as encryption, watermarking, and steganography are among the central choices for researchers of signal processing and data communication. Recently, traditional data communication techniques have become less effective. Therefore, recent studies suggest that data researchers are now looking forward towards intelligent data hiding techniques, in addition to the conventional data hiding techniques. In this regard, advances in machine learning and deep learning techniques will be beneficial for secure data communication. In addition, the discovery of manipulated contents and the recovery of tampered regions would be quite effective for the network community.

This Special Issue aims to bring together researchers of multi-media forensics, image processing, data hiding, and artificial intelligence to exchange their ideas and knowledge to address these issues. The following potential research topics are covered in this Special Issue:

• Intelligent watermarking;
• Multi-media watermarking;
• Copyright protection and integrity verification;
• Forgery detection and localization;
• Reversible data hiding;
• Data hiding using fuzzy logic;
• Data hiding using deep learning;
• Deep learning-based steganalysis;
• Deepfake detection;
• Adversarial machine learning for security applications.

Dr. Aditya Kumar Sahu
Dr. Amine Khaldi
Dr. Jatindra Kumar Dash
Guest Editors

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